{"id":"W4362658320","doi":"10.1161/strokeaha.122.041929","title":"Effect of COVID-19 on Acute Ischemic Stroke Severity and Mortality in 2020: Results From the 2020 National Inpatient Sample","year":2023,"lang":"en","type":"article","venue":"Stroke","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Institute of Nursing Research; National Institute on Minority Health and Health Disparities; Canadian Institutes of Health Research; National Institutes of Health; Agency for Healthcare Research and Quality; National Institute of Neurological Disorders and Stroke; American Heart Association","keywords":"Medicine; Quartile; Stroke (engine); Coronavirus disease 2019 (COVID-19); Logistic regression; Emergency medicine; Intracerebral hemorrhage; Cohort; Pandemic; Demography; Internal medicine; Confidence interval; Subarachnoid hemorrhage; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002835692,0.0004804371,0.0003632864,0.0009247068,0.0004228191,0.0008384291,0.0007108015,0.0004449778,0.001998758],"category_scores_gemma":[0.004481916,0.0002884268,0.001390857,0.001167795,0.0002725555,0.0008388502,0.001621446,0.000738488,0.000546602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005637143,"about_ca_system_score_gemma":0.0009916612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03219701,"about_ca_topic_score_gemma":0.03149782,"domain_scores_codex":[0.9991524,0.0001830952,0.0001069591,0.0001811786,0.0001945766,0.0001817627],"domain_scores_gemma":[0.9974648,0.0003256045,0.001059025,0.00017581,0.0004749733,0.0004998629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001011694,0.00002377045,0.9986283,0.00001349389,0.00008908857,0.00001588172,0.00003980823,0.00008181513,0.00003754296,0.00002072661,0.0003360935,0.0006124191],"study_design_scores_gemma":[0.000004020268,0.00005699556,0.999083,0.00001230037,0.00003555124,0.00004474635,0.0001869286,0.0002153629,0.00004218888,0.00001682805,0.0002978344,0.000004120861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987,0.0002609652,0.0001975867,0.0001785171,0.00003905118,0.00002218784,0.01132293,0.00001280873,0.0009658846],"genre_scores_gemma":[0.9773729,0.000180062,0.000197271,0.0001400456,0.00003097202,0.00006198569,0.02154728,0.00001128316,0.000458289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03219701,"threshold_uncertainty_score":0.0640192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045064513624672,"score_gpt":0.3991542142620049,"score_spread":0.3487035691257582,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}